Differential Evolution in Partitional Clustering
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F10%3AA1100YDD" target="_blank" >RIV/61988987:17610/10:A1100YDD - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Differential Evolution in Partitional Clustering
Original language description
We consider the problem of optimal partitional clustering by minimizing TRW criterion with differential evolution. The choice of search strategy and setting of control parameters for the application to partition clustering of real data sets is studied. Experimental results proved that the DE variant based on an exponential crossover with high probability of mutation is the best performing and it can be recommended for solving partitioning problems.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MENDEL 2010, 16th International Conference on Soft Computing
ISBN
978-80-214-4120-0
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
University of Technology
Place of publication
Brno
Event location
Brno
Event date
Jun 23, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000288144100002